f.newCache.deleteRecursive(thisHash)
			f.newCache.replaceHashed(thisHash, folder.parent, *flat)
			total := map[string]string{
				"objects": strconv.FormatUint(flat.Objects, 10),
				"size":    strconv.FormatInt(flat.Size, 10),
			}
			if flat.Versions > 0 {
				total["versions"] = strconv.FormatUint(flat.Versions, 10)
			}
			stop(total)
		}

	}
	// Compact if too many children...

		if e == nil {
			continue
		}
		flat := d.flatten(*e)
		bui := BucketUsageInfo{
			Size:                    uint64(flat.Size),
			VersionsCount:           flat.Versions,
			ObjectsCount:            flat.Objects,
			DeleteMarkersCount:      flat.DeleteMarkers,
			ObjectSizesHistogram:    flat.ObjSizes.toMap(),
			ObjectVersionsHistogram: flat.ObjVersions.toMap(),
		}
		dst[bucket.Name] = bui
	}

///

Dann könnten Sie dieses Python-Programm aufrufen:

<div class="termy">

```console
// Hier legen wir die Umgebungsvariable noch nicht fest
$ python main.py

// Da wir die Umgebungsvariable nicht festgelegt haben, erhalten wir den Standardwert

Hello World from Python

// Aber wenn wir zuerst eine Umgebungsvariable erstellen

```

////

//// tab | Python 3.8+

```Python hl_lines="14"
{!> ../../docs_src/body_nested_models/tutorial002.py!}
```

////

## Set-Typen

Aber dann denken wir darüber nach und stellen fest, dass sich die Tags nicht wiederholen sollen, es sollen eindeutige Strings sein.

Python hat einen Datentyp speziell für Mengen eindeutiger Dinge: das <abbr title="Menge">`set`</abbr>.

something()
```

oder

```Python
something(some_argument, some_keyword_argument="foo")
```

dann ist das ein „Callable“ (ein „Aufrufbares“).

## Klassen als Abhängigkeiten

Möglicherweise stellen Sie fest, dass Sie zum Erstellen einer Instanz einer Python-Klasse die gleiche Syntax verwenden.

Zum Beispiel:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name

 *       code, or even to discover <i>any</i> two distinct inputs that yield the same result. These
 *       are called <i>cryptographic hash functions</i>. But, whenever it is learned that either of
 *       these feats has become computationally feasible, the function is deemed "broken" and should
 *       no longer be used for secure purposes. (This is the likely eventual fate of <i>all</i>
 *       cryptographic hashes.)

 *       code, or even to discover <i>any</i> two distinct inputs that yield the same result. These
 *       are called <i>cryptographic hash functions</i>. But, whenever it is learned that either of
 *       these feats has become computationally feasible, the function is deemed "broken" and should
 *       no longer be used for secure purposes. (This is the likely eventual fate of <i>all</i>
 *       cryptographic hashes.)

                        state = 0;

                        break;

                    case 2:
                        if (contains(WHITE_SPACE, c)) {
                            // do nothing, eat all white spaces
                            state = 2;
                        } else if (contains(SEPARATORS, c)) {
                            // switch to the value parsing state
                            state = 3;

// DesCipher - the DES encryption method
//
// The meat of this code is by Dave Zimmerman <******@****.***>, and is:
//
// Copyright (c) 1996 Widget Workshop, Inc. All Rights Reserved.
//
// Permission to use, copy, modify, and distribute this software
// and its documentation for NON-COMMERCIAL or COMMERCIAL purposes and
// without fee is hereby granted, provided that this copyright notice is kept
// intact.
//

// be attached. It is intended for use with TFE_OpGetFlatInput to inspect an
// already-finalized operation.
//
// Note that TFE_OpGetFlatInputCount and TFE_OpGetFlatInput operate on a flat
// sequence of inputs, unlike TFE_OpGetInputLength (for getting the length of a
// particular named input list, which may only be part of the op's inputs).
TF_CAPI_EXPORT extern int TFE_OpGetFlatInputCount(const TFE_Op* op,